Where do I find my Personal Access Token?

In Optimizely, go to **Profile Settings** > **API Access** and generate a new Personal Access Token. Ensure it has the necessary permissions for the projects you want to manage.

Can I start an experiment that is in draft mode?

Yes, using the `start_experiment` tool will attempt to set the status to 'running'. However, Optimizely requires the experiment to be valid and fully configured before it can transition from draft to running.

How do I find my Project ID?

You can use the `list_projects` tool to see all projects associated with your account along with their IDs. You can also find it in the URL when viewing a project in the Optimizely dashboard.

Optimizely MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Optimizely
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Optimizely through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Optimizely Assistant",
            instructions=(
                "You help users interact with Optimizely. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Optimizely"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Optimizely MCP Server

Connect your Optimizely account to any AI agent and take full control of your experimentation and feature management workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Optimizely through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Optimizely, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Project Overview — List all projects and retrieve detailed metadata to maintain a clear view of your workspace.
Experiment Management — List experiments, check current status (running, paused, draft), and retrieve detailed configurations.
Feature Flag Tracking — List feature flags and inspect their definitions across different projects.
Audience & Event Auditing — List defined audiences and conversion events to verify your targeting and tracking setup.
Live Controls — Start or pause experiments directly through the agent to react quickly to results or issues.

The Optimizely MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Optimizely to OpenAI Agents SDK via MCP

Follow these steps to integrate the Optimizely MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Optimizely

Why Use OpenAI Agents SDK with the Optimizely MCP Server

OpenAI Agents SDK provides unique advantages when paired with Optimizely through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Optimizely + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Optimizely MCP Server delivers measurable value.

Automated workflows: build agents that query Optimizely, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Optimizely, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Optimizely tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Optimizely to resolve tickets, look up records, and update statuses without human intervention

Optimizely MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Optimizely to OpenAI Agents SDK via MCP:

get_experiment

Get details for a specific experiment

get_feature_flag

Get details for a specific feature flag

get_project

Get details for a specific project

list_audiences

List defined audiences in a project

list_events

List conversion events in a project

list_experiments

List experiments in a project

list_feature_flags

List feature flags in a project

list_projects

List all Optimizely projects

pause_experiment

Set experiment status to paused

start_experiment

Set experiment status to running

Example Prompts for Optimizely in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Optimizely immediately.

"List all Optimizely projects in my account."

"Check the status of all experiments in project 12345."

"Pause experiment 67890 in project 12345."

Troubleshooting Optimizely MCP Server with OpenAI Agents SDK

Common issues when connecting Optimizely to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Optimizely + OpenAI Agents SDK FAQ

Common questions about integrating Optimizely MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.